Pingping Song

3.2k total citations
44 papers, 1.2k citations indexed

About

Pingping Song is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Pingping Song has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Epidemiology. Recurrent topics in Pingping Song's work include Mitochondrial Function and Pathology (4 papers), RNA modifications and cancer (4 papers) and MicroRNA in disease regulation (3 papers). Pingping Song is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), RNA modifications and cancer (4 papers) and MicroRNA in disease regulation (3 papers). Pingping Song collaborates with scholars based in China, United States and South Korea. Pingping Song's co-authors include Daniel T. Laskowitz, Taiji Tsunemi, Dimitri Krainc, Katarina Trajković, Brian E. Mace, Dengwen Li, Hongxia Wang, Weili Tian, Bin Wang and Jun Zhou and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Pingping Song

41 papers receiving 1.2k citations

Peers

Pingping Song
Jérôme Robert Canada
Chenglin Liu China
Florence Burté United Kingdom
Sunan Li United States
Karen A. Ryall United States
Carlo Nucci Italy
Jean-Paul Decuypere Belgium
Mark Curtis United States
Jérôme Robert Canada
Pingping Song
Citations per year, relative to Pingping Song Pingping Song (= 1×) peers Jérôme Robert

Countries citing papers authored by Pingping Song

Since Specialization
Citations

This map shows the geographic impact of Pingping Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pingping Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Song more than expected).

Fields of papers citing papers by Pingping Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pingping Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pingping Song. The network helps show where Pingping Song may publish in the future.

Co-authorship network of co-authors of Pingping Song

This figure shows the co-authorship network connecting the top 25 collaborators of Pingping Song. A scholar is included among the top collaborators of Pingping Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pingping Song. Pingping Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Song, Pingping, et al.. (2025). Predictive Application Value of Metagenomic Next‐Generation Sequencing in the Resistance of Carbapenem‐Resistant Enterobacteriaceae. Canadian Journal of Infectious Diseases and Medical Microbiology. 2025(1). 6619016–6619016.
2.
Xu, Wenbin, et al.. (2024). Comprehensive evaluation of plasma microbial cell-free DNA sequencing for predicting bloodstream and local infections in clinical practice: a multicenter retrospective study. Frontiers in Cellular and Infection Microbiology. 13. 1256099–1256099. 11 indexed citations
3.
Duan, Jing, et al.. (2022). Diagnosis of Ureaplasma parvum meningitis by mNGS in an extremely low birth weight infant with multi-system lesions. Indian Journal of Medical Microbiology. 40(3). 455–458. 3 indexed citations
4.
Ye, Zhiqiang, et al.. (2022). A Naive Bayes model on lung adenocarcinoma projection based on tumor microenvironment and weighted gene co-expression network analysis. Infectious Disease Modelling. 7(3). 498–509. 7 indexed citations
5.
Song, Pingping, et al.. (2021). 1H NMR Combined with Multivariate Statistics for Discrimination of Female and Male Flower Buds of Populus tomentosa. Molecules. 26(21). 6458–6458. 4 indexed citations
6.
Song, Pingping, et al.. (2021). Metagenomic Analysis Identifying a Rare Leishmania Infection in an Adult With AIDS. Frontiers in Cellular and Infection Microbiology. 11. 764142–764142. 8 indexed citations
7.
Song, Pingping, Jing Chen, Xu Zhang, & Xiaofeng Yin. (2021). Construction of competitive endogenous RNA network related to circular RNA and prognostic nomogram model in lung adenocarcinoma. Mathematical Biosciences & Engineering. 18(6). 9806–9821.
8.
Liang, Yubin, Pingping Song, Wei Chen, et al.. (2021). Inhibition of Caspase-1 Ameliorates Ischemia-Associated Blood-Brain Barrier Dysfunction and Integrity by Suppressing Pyroptosis Activation. Frontiers in Cellular Neuroscience. 14. 540669–540669. 71 indexed citations
9.
Song, Pingping, Yuqing Guan, Xia Chen, et al.. (2020). Frameshift mutation of Timm8a1 gene in mouse leads to an abnormal mitochondrial structure in the brain, correlating with hearing and memory impairment. Journal of Medical Genetics. 58(9). 619–627. 12 indexed citations
10.
Burbulla, Lena F., Sohee Jeon, Jianbin Zheng, et al.. (2019). A modulator of wild-type glucocerebrosidase improves pathogenic phenotypes in dopaminergic neuronal models of Parkinson’s disease. Science Translational Medicine. 11(514). 84 indexed citations
11.
Lei, Pinggui, Pei Li, Peng Xie, et al.. (2019). hSnd2/TMEM208 is an HIF-1<roman><bold>α</bold></roman>-targeted gene and contains a WH2 motif. Acta Biochimica et Biophysica Sinica. 52(3). 328–331. 6 indexed citations
12.
Xf, Wang, et al.. (2017). An integrated analysis for long noncoding RNAs and microRNAs with the mediated competing endogenous RNA network in papillary renal cell carcinoma. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Song, Pingping, Wei Huang, Rongni He, et al.. (2017). Disruption of AT-hook 1 domain in MeCP2 protein caused behavioral abnormality in mice. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(2). 347–358. 13 indexed citations
14.
Zhu, Ke, Pingping Song, Yumei Lai, Liu C, & Guozhi Xiao. (2016). Prolyl hydroxylase domain proteins regulate bone mass through their expression in osteoblasts. Gene. 594(1). 125–130. 4 indexed citations
15.
Song, Pingping, Katarina Trajković, Taiji Tsunemi, & Dimitri Krainc. (2016). Parkin Modulates Endosomal Organization and Function of the Endo-Lysosomal Pathway. Journal of Neuroscience. 36(8). 2425–2437. 126 indexed citations
16.
Zou, Shasha, Yanan Wang, Tingting Chen, et al.. (2014). Ectopic expression of Sonic Hedgehog in a cryptorchid man with azoospermia: A case report. Journal of International Medical Research. 42(2). 589–597. 3 indexed citations
17.
Zou, Shasha, Zheng Li, Yanan Wang, et al.. (2014). Association Study Between Polymorphisms of PRMT6, PEX10, SOX5, and Nonobstructive Azoospermia in the Han Chinese Population1. Biology of Reproduction. 90(5). 96–96. 17 indexed citations
18.
Zou, Shasha, Tingting Chen, Yanan Wang, et al.. (2014). Mesenchymal stem cells overexpressing Ihh promote bone repair. Journal of Orthopaedic Surgery and Research. 9(1). 102–102. 21 indexed citations
19.
Wang, Hongxia, Pingping Song, Lei Du, et al.. (2011). Parkin Ubiquitinates Drp1 for Proteasome-dependent Degradation. Journal of Biological Chemistry. 286(13). 11649–11658. 307 indexed citations
20.
Wang, Haichen, John Lynch, Pingping Song, et al.. (2007). Simvastatin and atorvastatin improve behavioral outcome, reduce hippocampal degeneration, and improve cerebral blood flow after experimental traumatic brain injury. Experimental Neurology. 206(1). 59–69. 152 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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